MAnorm2 Tools for Normalizing and Comparing ChIP-seq Samples

Introduction

Eukaryotic gene transcription is regulated by a large cohort of chromatin associated proteins, and inferring their differential binding sites between cellular contexts requires a rigorous comparison of the corresponding ChIP-seq samples. The package MAnorm2 is primarily developed for quantitatively comparing groups of ChIP-seq samples (e.g., groups of biological replicates corresponding to different cellular contexts). Technically, MAnorm2 uses a hierarchical strategy for normalization of ChIP-seq samples, and it assesses within-group variability of ChIP-seq signals under an empirical Bayes framework, in which MAnorm2 considers the abundance of differential ChIP-seq signals between groups of samples and the possibility of different within-group variability between groups. Another capability of MAnorm2 is to identify hypervariable ChIP-seq signals across samples, which, for example, is essential to dissecting the epigenetic heterogeneity across cancer patients as well as revealing potential sub-structures associated with them.

 

Publications

  1. MAnorm2 for quantitatively comparing groups of ChIP-seq samples
    Cite this
    Shiqi Tu, Mushan Li, Haojie Chen, Fengxiang Tan, Jian Xu, David J. Waxman, Yijing Zhang, Zhen Shao, 2021-01 - Genome Research
    Cited by 8 (Google Schoolar as of January 16, 2023)
  2. HyperChIP: identification of hypervariable signals across ChIP-seq or ATAC-seq samples
    Cite this
    Haojie Chen, Shiqi Tu, Chongze Yuan, Feng Tian, Yijing Zhang, Yihua Sun, Zhen Shao, 2022-02 - Genome Biology
    Cited by 0 (Google Schoolar as of January 16, 2023)

Credits

  1. Shiqi Tu tushiqi@sinh.ac.cn
    InvestigatorDeveloper

    Regulatory and Systems Genomics research group, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, China

  2. Zhen Shao shaozhen@sinh.ac.cn
    Investigator

    Regulatory and Systems Genomics research group, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, China

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Summary
AccessionBT007339
Tool TypeToolkit
CategoryNormalization, Differential peak calling
PlatformsLinux/Unix, MAC OS X, Windows
TechnologiesR
User InterfaceTerminal Command Line
Latest Release1.2.2 (January 16, 2023)
Download Count531
Country/RegionChina
Submitted ByShiqi Tu
Fundings

National Basic Research Program of China: 2018YFA0107602, 2018YFA0800203; National Natural Science Foundation of China: 31871280, 31701140; “100-Talent Program” of the Chinese Academy of Sciences: Y516C11851; Strategic Priority Research Program of Chinese Academy of Sciences: XDB38040100.